Neural networks: An overview of early research, current frameworks and new challenges
This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …
of neural networks, taking into account that two aims have emerged in this area: the …
[图书][B] Adaptive approximation based control: unifying neural, fuzzy and traditional adaptive approximation approaches
JA Farrell, MM Polycarpou - 2006 - books.google.com
A highly accessible and unified approach to the design and analysis of intelligent control
systems Adaptive Approximation Based Control is a tool every control designer should have …
systems Adaptive Approximation Based Control is a tool every control designer should have …
Wavelet neural networks: A practical guide
AK Alexandridis, AD Zapranis - Neural Networks, 2013 - Elsevier
Wavelet networks (WNs) are a new class of networks which have been used with great
success in a wide range of applications. However a general accepted framework for …
success in a wide range of applications. However a general accepted framework for …
Constructive incremental learning from only local information
S Schaal, CG Atkeson - Neural computation, 1998 - ieeexplore.ieee.org
We introduce a constructive, incremental learning system for regression problems that
models data by means of spatially localized linear models. In contrast to other approaches …
models data by means of spatially localized linear models. In contrast to other approaches …
[图书][B] The control systems handbook: control system advanced methods
WS Levine - 2018 - books.google.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …
engineers working with modern control systems required. Among its many accolades, that …
Bayesian nonparametric adaptive control using Gaussian processes
Most current model reference adaptive control (MRAC) methods rely on parametric adaptive
elements, in which the number of parameters of the adaptive element are fixed a priori, often …
elements, in which the number of parameters of the adaptive element are fixed a priori, often …
Modelling and control for intelligent industrial systems
GG Rigatos - adaptive algorithms in robotics and industrial …, 2011 - Springer
Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …
production costs, and to improve working conditions and safety in industrial environments …
Scalable techniques from nonparametric statistics for real time robot learning
Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that
provides useful representations and training algorithms for learning about complex …
provides useful representations and training algorithms for learning about complex …
Nonsingular terminal sliding mode control of robot manipulators using fuzzy wavelet networks
CK Lin - IEEE transactions on fuzzy systems, 2006 - ieeexplore.ieee.org
This paper presents an adaptive nonsingular terminal sliding mode (NTSM) tracking control
design for robotic systems using fuzzy wavelet networks. Compared with linear hyperplane …
design for robotic systems using fuzzy wavelet networks. Compared with linear hyperplane …
Fuzzy wavelet networks for function learning
DWC Ho, PA Zhang, J Xu - IEEE Transactions on Fuzzy …, 2001 - ieeexplore.ieee.org
Inspired by the theory of multiresolution analysis (MRA) of wavelet transforms and fuzzy
concepts, a fuzzy wavelet network (FWN) is proposed for approximating arbitrary nonlinear …
concepts, a fuzzy wavelet network (FWN) is proposed for approximating arbitrary nonlinear …